Schema.org structured data supports a catchall property called additionalType. The additionalType property allows for a more accurate definition of products, businesses and services.

The examples in this chapter illustrate a classic data warehouse (star schema/snowflake, multidimensional, measures/facts), a small distributed data mart, and an OLAP cube.

The example in the slide below shows Schema Vocabulary using JSON-LD for a tourist attraction entity.

As organizations seek to unlock the full potential of MongoDB, data modeling and schema design play a pivotal role in ensuring optimal performance and leveraging its unique features.

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

Success with a lakehouse depends on more than just tooling—it requires team readiness, clear processes and thoughtful design.

Example.com was hit with a manual site-wide penalty for “spammy structured markup” and has since updated schema markup implementation to align itself with Google’s guidelines and best practices.